Prevalence of pathogenic variants and variants of unknown significance in patients at high risk of breast cancer: A systematic review and meta-analysis of gene-panel data.

Abstract

BACKGROUND:

Gene-panels are used to assess predisposition to breast cancer by simultaneous testing of multiple susceptibility genes. This approach increases the identification of variants of unknown significance (VUS) that cannot be used in clinical decision-making. We performed a systematic review of published studies to calculate the prevalence of VUS and pathogenic variants (PV) in routinely tested breast cancer susceptibility genes in patients at high risk of breast cancer.

METHODS:

We comprehensively searched the literature using Medline through May 23, 2017 for studies conducting gene-panel testing on germline DNA of women with familial breast cancer and reporting on both PVs and VUSs. A meta-analysis of the collected data was carried out to obtain pooled VUS and PV prevalence estimates per gene using a generalized linear mixed model with logit link for binomial distribution.

RESULTS:

Of 602 publications, 4 were eligible and included 1870 patients. The panels encompassed 4-27 considered genes. Overall, the estimated probability per gene of a PV and VUS was 55% (95% confidence interval (CI) 26%-81%) and 91% (95% CI 78%-97%), respectively (p =  0.0066). The estimated probability per patient of a PV and VUS was 8% (95% CI 1%-34%) and 23% (95% CI 7%-52%), respectively (p =  0.0052). The ratio of VUS to PV was highest in the mismatch repair genes MLH1, MSH2, MSH6, PMS2 (18.7), CDH1 (13.4) and ATM (9.5). Amongst the 1468 patients tested for BRCA1 and BRCA2, only these two genes had a VUS to PV ratio of less than one (0.2 and 0.6, respectively).

CONCLUSION:

With the current panels, the probability of detecting a VUS is significantly higher than the probability of detecting a PV. Better classification of VUSs is therefore critical and requires gene-specific VUS-assessment in every future study of gene-panel testing in patients at high risk of breast cancer.

• Authors: C van Marcke, A Collard, M Vikkula, F P Duhoux
• Journal: Critical reviews in oncology/hematology (Crit Rev Oncol Hematol) Vol. 132 Pg. 138-144 (Dec 2018) ISSN: 1879-0461 [Electronic] Netherlands
• PMID: 30447919 (Publication Type: Journal Article, Meta-Analysis, Systematic Review)
• Copyright: Copyright © 2018 Elsevier B.V. All rights reserved.

Chemical References

• Biomarkers, Tumor

Topics

• Biomarkers, Tumor (genetics)
• Breast Neoplasms (epidemiology, genetics, pathology)
• Female
• Genetic Predisposition to Disease
• Humans
• Mutation
• Prevalence
• Transcriptome